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Multi-objective optimization of GENIE earth system models

Record type: Article

The tuning of parameters in climate models is essential to provide reliable long-term forecasts of Earth system behaviour. We apply a multi-objective optimization algorithm to the problem of parameter estimation in climate models. This optimization process involves the iterative evaluation of response surface models (RSMs), followed by the execution of multiple Earth system simulations. These computations require an infrastructure that provides high-performance computing for building and searching the RSMs and high-throughput computing for the concurrent evaluation of a large number of models. Grid computing technology is therefore essential to make this algorithm practical for members of the GENIE project.

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Citation

Price, Andrew R., Myerscough, Richard J., Voutchkov, Ivan I., Marsh, Robert and Cox, Simon J. (2009) Multi-objective optimization of GENIE earth system models Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 367, (1898), pp. 2623-2633. (doi:10.1098/rsta.2009.0039).

More information

Published date: 13 July 2009
Keywords: Multi-Objective Optimization, High Performance Computing, High Throughput Computing, Grid Computing
Organisations: Ocean and Earth Science, Computational Engineering and Design

Identifiers

Local EPrints ID: 65094
URI: http://eprints.soton.ac.uk/id/eprint/65094
ISSN: 1364-503X
PURE UUID: ead1f1e8-9c58-4890-a458-67f0f1e624c3

Catalogue record

Date deposited: 02 Feb 2009
Last modified: 17 Jul 2017 14:10

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